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ORCIDAvi Pfeffer
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- affiliation: Stanford University, USA
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Books and Theses
- 1999
[b1]Avi Pfeffer:
Probabilistic reasoning for complex systems. Stanford University, USA, 1999
Journal Articles
- 2019
- [j9]Avi Pfeffer
, Curt Wu, Gerald Fry, Kenny Lu, Steve Marotta, Michael Reposa, Yuan Shi, T. K. Satish Kumar, Craig A. Knoblock, David Parker, Irfan Muhammad, Chris Novakovic:
Software Adaptation for an Unmanned Undersea Vehicle. IEEE Softw. 36(2): 91-96 (2019) - 2017
- [j8]Matan Leibovich, Inon Zuckerman, Avi Pfeffer, Ya'akov Gal:
Decision-making and opinion formation in simple networks. Knowl. Inf. Syst. 51(2): 691-718 (2017) - 2010
- [j7]Loizos Michael, David C. Parkes, Avi Pfeffer:
Specifying and monitoring economic environments using rights and obligations. Auton. Agents Multi Agent Syst. 20(2): 158-197 (2010) - [j6]Ya'akov Gal, Barbara J. Grosz, Sarit Kraus, Avi Pfeffer, Stuart M. Shieber:
Agent decision-making in open mixed networks. Artif. Intell. 174(18): 1460-1480 (2010) - 2009
- [j5]Avi Pfeffer, Subrata Das, David Lawless, Brenda Ng:
Factored reasoning for monitoring dynamic team and goal formation. Inf. Fusion 10(1): 99-106 (2009) - 2008
- [j4]Ya'akov Gal, Avi Pfeffer:
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes. J. Artif. Intell. Res. 33: 109-147 (2008) - 2007
- [j3]Karen L. Myers, Pauline Berry, Jim Blythe, Ken Conley, Melinda T. Gervasio, Deborah L. McGuinness, David N. Morley, Avi Pfeffer, Martha E. Pollack, Milind Tambe:
An Intelligent Personal Assistant for Task and Time Management. AI Mag. 28(2): 47-61 (2007) - 1997
- [j2]Daphne Koller, Avi Pfeffer:
Representations and Solutions for Game-Theoretic Problems. Artif. Intell. 94(1-2): 167-215 (1997) - 1996
- [j1]Michael Stonebraker, Paul M. Aoki, Witold Litwin, Avi Pfeffer, Adam Sah, Jeff Sidell, Carl Staelin, Andrew Yu:
Mariposa: A Wide-Area Distributed Database System. VLDB J. 5(1): 48-63 (1996)
Conference and Workshop Papers
- 2019
- [c75]Gerald Fry, T. Samawi, Kenny Lu, Avi Pfeffer, Curt Wu, Steve Marotta, Michael Reposa, Stephen Chong:
Machine Learning-Enabled Adaptation of Information Fusion Software Systems. FUSION 2019: 1-7 - 2018
- [c74]Avi Pfeffer, Brian E. Ruttenberg, William Kretschmer, Alison O'Connor:
Structured Factored Inference for Probabilistic Programming. AISTATS 2018: 1224-1232 - 2017
- [c73]Michael Howard, Avi Pfeffer, Mukesh Dalai, Michael Reposa:
Predicting signatures of future malware variants. MALWARE 2017: 126-132 - 2015
- [c72]Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer:
Reasoning on resident space object hierarchies using probabilistic programming. FUSION 2015: 1315-1321 - 2014
- [c71]Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer:
Hierarchical Reasoning with Probabilistic Programming. StarAI@AAAI 2014 - [c70]Lee Kellogg, Brian E. Ruttenberg, Alison O'Connor, Michael Howard, Avi Pfeffer:
Hierarchical management of large-scale malware data. IEEE BigData 2014: 666-674 - [c69]Brian E. Ruttenberg, Craig Miles, Lee Kellogg, Vivek Notani, Michael Howard, Charles LeDoux, Arun Lakhotia, Avi Pfeffer:
Identifying Shared Software Components to Support Malware Forensics. DIMVA 2014: 21-40 - 2013
- [c68]James Niehaus, Victoria Romero, Avi Pfeffer:
Towards Evaluating Computational Models of Intuitive Decision Making with fMRI Data. HCI (24) 2013: 467-473 - [c67]Charles LeDoux, Arun Lakhotia, Craig Miles, Vivek Notani, Avi Pfeffer:
FuncTracker: Discovering Shared Code to Aid Malware Forensics. LEET 2013 - [c66]Jacob Ouellette, Avi Pfeffer, Arun Lakhotia:
Countering malware evolution using cloud-based learning. MALWARE 2013: 85-94 - 2012
- [c65]Avi Pfeffer, Catherine Call, John Chamberlain, Lee Kellogg, Jacob Ouellette, Terry Patten, Greg Zacharias, Arun Lakhotia, Suresh Golconda, John Bay, Robert Hall, Daniel Scofield:
Malware Analysis and attribution using Genetic Information. MALWARE 2012: 39-45 - [c64]Avi Pfeffer:
Creating and Manipulating Probabilistic Programs with Figaro. StarAI@UAI 2012 - [c63]Siddharth Srivastava, Stuart Russell, Avi Pfeffer:
First-Order Models for POMDPs. StarAI@UAI 2012 - 2011
- [c62]Dimitrios Antos, Avi Pfeffer:
Reasoning patterns in Bayesian games. AAMAS 2011: 1097-1098 - [c61]Dimitrios Antos, Avi Pfeffer:
Using Emotions to Enhance Decision-Making. IJCAI 2011: 24-30 - 2010
- [c60]Meir Kalech, Avi Pfeffer:
Decision making with dynamically arriving information. AAMAS 2010: 267-274 - [c59]Dimitrios Antos, Avi Pfeffer:
Representing Bayesian games without a common prior. AAMAS 2010: 1457-1458 - [c58]Avi Pfeffer:
Practical Probabilistic Programming. ILP 2010: 2-3 - [c57]Xi Alice Gao, Avi Pfeffer:
Learning Game Representations from Data Using Rationality Constraints. UAI 2010: 185-192 - 2009
- [c56]Philip Hendrix, Ya'akov Gal, Avi Pfeffer:
Learning whom to trust: using graphical models for learning about information providers. AAMAS (2) 2009: 1261-1262 - [c55]Philip Hendrix, Ya'akov Gal, Avi Pfeffer:
Using Hierarchical Bayesian Models to Learn about Reputation. CSE (4) 2009: 208-214 - [c54]Ya'akov Gal, Rajesh Kasturirangan, Avi Pfeffer, Whitman Richards:
A Model of Tacit Knowledge and Action. CSE (4) 2009: 463-468 - [c53]Dimitrios Antos, Avi Pfeffer:
Using Reasoning Patterns to Help Humans Solve Complex Games. IJCAI 2009: 33-39 - [c52]Avi Pfeffer:
CTPPL: A Continuous Time Probabilistic Programming Language. IJCAI 2009: 1943-1950 - [c51]Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer:
Temporal Action-Graph Games: A New Representation for Dynamic Games. UAI 2009: 268-276 - 2008
- [c50]Dimitrios Antos, Avi Pfeffer:
Using Reasoning Patterns to Simplify Games. AAAI 2008: 1770-1771 - [c49]Ya'akov Gal, Rajesh Kasturirangan, Avi Pfeffer, Whitman Richards:
How Tacit Knowledge Guides Action. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence 2008: 61-64 - [c48]Sevan G. Ficici, Avi Pfeffer:
Modeling how humans reason about others with partial information. AAMAS (1) 2008: 315-322 - [c47]Sevan G. Ficici, Avi Pfeffer:
Simultaneously modeling humans' preferences and their beliefs about others' preferences. AAMAS (1) 2008: 323-330 - [c46]Sevan G. Ficici, Avi Pfeffer, Ya'akov Gal, Barbara J. Grosz, Stuart M. Shieber:
Colored trails: a multiagent system testbed for decision-making research. AAMAS (Demos) 2008: 1661-1662 - [c45]Dimitrios Antos, Avi Pfeffer:
Identifying reasoning patterns in games. UAI 2008: 9-17 - [c44]Sevan G. Ficici, David C. Parkes, Avi Pfeffer:
Learning and Solving Many-Player Games through a Cluster-Based Representation. UAI 2008: 187-195 - 2007
- [c43]Avi Pfeffer, Ya'akov Gal:
On the Reasoning Patterns of Agents in Games. AAAI 2007: 102-109 - [c42]Ya'akov Gal, Avi Pfeffer:
Modeling Reciprocal Behavior in Human Bilateral Negotiation. AAAI 2007: 815-820 - [c41]Avi Pfeffer:
Sampling with Memoization. AAAI 2007: 1263-1270 - [c40]Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer:
User Model and Utility Based Power Management. AAAI 2007: 1918-1919 - [c39]Ya'akov Gal, Barbara J. Grosz, Avi Pfeffer, Stuart M. Shieber, Alex Allain:
The Influence of Task Contexts on the Decision-Making of Humans and Computers. CONTEXT 2007: 206-219 - [c38]Avi Pfeffer, Subrata Das, David Lawless, Brenda Ng:
Global/Local Dynamic Models. IJCAI 2007: 2580-2585 - [c37]Ilan Wapinski, Avi Pfeffer, Nir Friedman, Aviv Regev:
Automatic genome-wide reconstruction of phylogenetic gene trees. ISMB/ECCB (Supplement of Bioinformatics) 2007: 549-558 - [c36]Charlie Frogner, Avi Pfeffer:
Discovering Weakly-Interacting Factors in a Complex Stochastic Process. NIPS 2007: 481-488 - 2006
- [c35]Ya'akov Gal, Avi Pfeffer:
Predicting people's bidding behavior in negotiation. AAMAS 2006: 370-376 - [c34]Maurizio Borsotto, Weihong Zhang, Emir Kapanci, Avi Pfeffer, Christopher Crick:
A Junction Tree Propagation Algorithm for Bayesian Networks with Second-Order Uncertainties. ICTAI 2006: 455-464 - [c33]Avi Pfeffer:
Approximate Separability for Weak Interaction in Dynamic Systems. UAI 2006 - 2005
- [c32]Avi Pfeffer:
Functional Specification of Probabilistic Process Models. AAAI 2005: 663-669 - [c31]Emir Kapanci, Avi Pfeffer:
Signal-to-Score Music Transcription using Graphical Models. IJCAI 2005: 758-765 - [c30]Brenda Ng, Avi Pfeffer, Richard Dearden:
Continuous Time Particle Filtering. IJCAI 2005: 1360-1365 - [c29]Avi Pfeffer, Terry Tai:
Asynchronous Dynamic Bayesian Networks. UAI 2005: 467-476 - 2004
- [c28]Ya'akov Gal, Avi Pfeffer, Francesca Marzo, Barbara J. Grosz:
Learning Social Preferences in Games. AAAI 2004: 226-231 - [c27]Avi Pfeffer:
Repeated Observation Models. AAAI 2004: 299-304 - [c26]Loizos Michael, David C. Parkes, Avi Pfeffer:
Specifying and Monitoring Market Mechanisms Using Rights and Obligations. AMEC 2004: 188-201 - [c25]Ya'akov Gal, Avi Pfeffer:
Reasoning about Rationality and Beliefs. AAMAS 2004: 774-781 - [c24]Emir Kapanci, Avi Pfeffer:
A Hierarchical Approach to Onset Detection. ICMC 2004 - [c23]David G. Sullivan, Margo I. Seltzer, Avi Pfeffer:
Using probabilistic reasoning to automate software tuning. SIGMETRICS 2004: 404-405 - 2003
- [c22]Ya'akov Gal, Avi Pfeffer:
A language for modeling agents' decision making processes in games. AAMAS 2003: 265-272 - [c21]Emir Kapanci, Avi Pfeffer:
Learning Style-Specific Rhythmic Structures. ICMC 2003 - [c20]Leonid Peshkin, Avi Pfeffer:
Bayesian Information Extraction Network. IJCAI 2003: 421-426 - [c19]Leonid Peshkin, Avi Pfeffer, Virginia Savova:
Bayesian Nets for Syntactic Categorization of Novel Words. HLT-NAACL 2003 - [c18]Christopher Crick, Avi Pfeffer:
Loopy Belief Propagation as a Basis for Communication in Sensor Networks. UAI 2003: 159-166 - 2002
- [c17]Sanmay Das, Barbara J. Grosz, Avi Pfeffer:
Learning and decision: making for intention reconciliation. AAMAS 2002: 1121-1128 - [c16]Norman Ramsey, Avi Pfeffer:
Stochastic lambda calculus and monads of probability distributions. POPL 2002: 154-165 - [c15]Brenda Ng, Leonid Peshkin, Avi Pfeffer:
Factored Particles for Scalable Monitoring. UAI 2002: 370-377 - 2001
- [c14]Avi Pfeffer:
IBAL: A Probabilistic Rational Programming Language. IJCAI 2001: 733-740 - [c13]Avi Pfeffer:
Sufficiency, Separability and Temporal Probabilistic Models. UAI 2001: 421-428 - 2000
- [c12]Avi Pfeffer, Daphne Koller:
Semantics and Inference for Recursive Probability Models. AAAI/IAAI 2000: 538-544 - 1999
- [c11]Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer:
Learning Probabilistic Relational Models. IJCAI 1999: 1300-1309 - [c10]Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa:
SPOOK: A system for probabilistic object-oriented knowledge representation. UAI 1999: 541-550 - 1998
- [c9]Nir Friedman, Daphne Koller, Avi Pfeffer:
Structured Representation of Complex Stochastic Systems. AAAI/IAAI 1998: 157-164 - [c8]Daphne Koller, Avi Pfeffer:
Probabilistic Frame-Based Systems. AAAI/IAAI 1998: 580-587 - 1997
- [c7]Daphne Koller, Alon Y. Levy, Avi Pfeffer:
P-CLASSIC: A Tractable Probablistic Description Logic. AAAI/IAAI 1997: 390-397 - [c6]Daphne Koller, David A. McAllester, Avi Pfeffer:
Effective Bayesian Inference for Stochastic Programs. AAAI/IAAI 1997: 740-747 - [c5]Daphne Koller, Avi Pfeffer:
Learning Probabilities for Noisy First-Order Rules. IJCAI 1997: 1316-1323 - [c4]Daphne Koller, Avi Pfeffer:
Object-Oriented Bayesian Networks. UAI 1997: 302-313 - 1995
- [c3]Daphne Koller, Avi Pfeffer:
Generating and Solving Imperfect Information Games. IJCAI 1995: 1185-1193 - [c2]Joseph M. Hellerstein, Jeffrey F. Naughton, Avi Pfeffer:
Generalized Search Trees for Database Systems. VLDB 1995: 562-573 - 1994
- [c1]Michael Stonebraker, Robert Devine, Marcel Kornacker, Witold Litwin, Avi Pfeffer, Adam Sah, Carl Staelin:
An Economic Paradigm for Query Processing and Data Migration in Mariposa. PDIS 1994: 58-67
Editorship
- 2011
- [e1]Fábio Gagliardi Cozman, Avi Pfeffer:
UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011. AUAI Press 2011, ISBN 978-0-9749039-7-2 [contents]
Informal and Other Publications
- 2021
- [i22]Avi Pfeffer, Michael Harradon, Joseph Campolongo, Sanja Cvijic:
Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations. CoRR abs/2110.02325 (2021) - [i21]Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer:
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR abs/2112.03235 (2021) - 2017
- [i20]Avi Pfeffer, Brian E. Ruttenberg, Lee Kellogg, Michael Howard, Catherine Call, Alison O'Connor, Glenn Takata, Scott Neal Reilly, Terry Patten, Jason Taylor, Robert Hall, Arun Lakhotia, Craig Miles, Daniel Scofield, Jared Frank:
Artificial Intelligence Based Malware Analysis. CoRR abs/1704.08716 (2017) - [i19]Avi Pfeffer:
Learning Probabilistic Programs Using Backpropagation. CoRR abs/1705.05396 (2017) - 2016
- [i18]Brian E. Ruttenberg, Lee Kellogg, Avi Pfeffer:
Probabilistic Programming for Malware Analysis. CoRR abs/1603.08379 (2016) - [i17]Avi Pfeffer, Brian E. Ruttenberg, William Kretschmer:
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages. CoRR abs/1606.03298 (2016) - 2015
- [i16]Avi Pfeffer, Brian E. Ruttenberg, Amy Sliva, Michael Howard, Glenn Takata:
Lazy Factored Inference for Functional Probabilistic Programming. CoRR abs/1509.03564 (2015) - 2014
- [i15]Ya'akov Gal, Avi Pfeffer:
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes. CoRR abs/1401.3426 (2014) - [i14]Brian E. Ruttenberg, Avi Pfeffer:
Decision-Making with Complex Data Structures using Probabilistic Programming. CoRR abs/1407.3208 (2014) - 2013
- [i13]Brenda Ng, Leonid Peshkin, Avi Pfeffer:
Factored Particles for Scalable Monitoring. CoRR abs/1301.0590 (2013) - [i12]Avi Pfeffer:
Sufficiency, Separability and Temporal Probabilistic Models. CoRR abs/1301.2301 (2013) - [i11]Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa:
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation. CoRR abs/1301.6733 (2013) - [i10]Daphne Koller, Avi Pfeffer:
Object-Oriented Bayesian Networks. CoRR abs/1302.1554 (2013) - 2012
- [i9]Xi Alice Gao, Avi Pfeffer:
Learning Game Representations from Data Using Rationality Constraints. CoRR abs/1203.3480 (2012) - [i8]Fábio Gagliardi Cozman, Avi Pfeffer:
Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence (2011). CoRR abs/1205.2596 (2012) - [i7]Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer:
Temporal Action-Graph Games: A New Representation for Dynamic Games. CoRR abs/1205.2638 (2012) - [i6]Dimitrios Antos, Avi Pfeffer:
Identifying reasoning patterns in games. CoRR abs/1206.3235 (2012) - [i5]Sevan G. Ficici, David C. Parkes, Avi Pfeffer:
Learning and Solving Many-Player Games through a Cluster-Based Representation. CoRR abs/1206.3253 (2012) - [i4]Avi Pfeffer:
Approximate Separability for Weak Interaction in Dynamic Systems. CoRR abs/1206.6846 (2012) - [i3]Avi Pfeffer, Terry Tai:
Asynchronous Dynamic Bayesian Networks. CoRR abs/1207.1398 (2012) - [i2]Christopher Crick, Avi Pfeffer:
Loopy Belief Propagation as a Basis for Communication in Sensor Networks. CoRR abs/1212.2465 (2012) - 2003
- [i1]Leonid Peshkin, Avi Pfeffer:
Bayesian Information Extraction Network. CoRR cs.CL/0306039 (2003)
Coauthor Index
Kobi Gal
aka: Ya'akov Gal
aka: Ya'akov Gal
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